Lead Data Engineer Location: Remote from Spain Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. Requirements: - 5+ years of hands-on experience in data engineering with Python and SQL. - 3+ years of experience with AWS (Glue, S3, Athena, Lambda, DataZone) - Strong experience with Airflow and Spark - Drive the design and implementation of data warehouse and data lakes. - Proficient in code versioning (git) and building CI/CD for data projects. - Experience with requirement gathering and documentation. Will be a plus: - Experience with NoSQL. Responsibilities: - Lead a data engineering team. - Collaborate with business stakeholders and technical teams to understand and analyze data requirements. - Lead the design and implementation of data models and database structures that meet business needs. - Profile, refactor, and tune performance in the database. - Design and implement complex ETL processes to extract, transform, and load data from various source systems into the data warehouse. - Ensure data integrity, consistency, and accuracy through robust data quality assurance measures. - Review and support team members, providing guidance and mentorship. - Supervise and contribute to the data-driven strategy for the project, aligning it with business objectives. #J-18808-Ljbffr